- KX132-1211 and KX134-1211 modules can provide high accuracy in motion-sensing applications
- These modules can also provide flexible support for machine condition monitoring of industrial equipment
- They work on Advanced-Data Path (ADP)Technology
In recent years, factories have begun to save labour costs and increase efficiency. The concept of predictive maintenance has been introduced for detecting abnormalities before the equipment malfunctions. This has increased the need for machine health monitoring sensors to detect the conditions of equipment.
ROHM Group company Kionix has recently launched embedded accelerometers featuring noise filter capabilities. The KX132-1211 and KX134-1211 modules can provide higher accuracy in motion-sensing applications. Its ability to work on low-power consumption can help in optimising the performance of industrial equipment and smart wearables.
Works on Advanced-Data Path technology
According to ROHM, the KX134-1211 is a 3-axis accelerometer optimized for machine condition monitoring. This device works on Advanced-Data Path (ADP) technology. It allows noise filtering and sensor signal processing. Each filter in the sensor can be switched ON and OFF. It switches the frequency filtering and signals power calculations on the sensor side. This eventually reduces the MCU load and associated power consumption of the device.
Reduces MCU load and power consumption
The company informed that these accelerometers contribute in reducing MCU load and power consumption. This reduction improves the performance of the sensor application. In addition to this, these sensors have enhanced sensor frequency that meets industrial requirements. The device can work for a sensing frequency of up to 8500 Hz. The working temperature range for the device has also been increased up to 105°C.
Wake up and sleep modes for reducing current consumption
This sensor can work on low current values of up to 0.67 microamperes. It includes additional features such as wake up and back to sleep functions. These functions contribute to lower power consumption and enables sensing operation in battery-equipped wearable devices. The company claims that this device consumes only 63 per cent of the total current consumption of other conventional products.
With reduced power consumption, this module can contribute in increasing the battery life in portable devices such as wearable and automotive smart keys. It can also work in applications like predictive maintenance and condition/vibration monitoring (machine condition monitoring) in motor-equipped industrial equipment.